Open AccessSemantic-relations taxonomy for knowledge representation
Author(s) -
Lucinéia Souza Maia,
Gercina Ângela Borém de Oliveira Lima
Publication year - 2021
Publication title -
brazilian journal of information science
Language(s) - English
Resource type - Journals
ISSN - 1981-1640
DOI - 10.36311/1981-1640.2021.v15.e02123
Subject(s) - taxonomy (biology) , computer science , semantic similarity , information retrieval , knowledge representation and reasoning , representation (politics) , natural language processing , artificial intelligence , political science , law , biology , botany , politics
Semantic relations in knowledge representation characterizes the association between the concepts of a domain. Concepts are units of knowledge and the relationships that link these units, which gives meaning to the knowledge as represented. In this way, semantic relations allow users to assimilate the purpose of the association between concepts in the presentational context, avoiding misinterpretation of the information, mainly that presented in instruments of knowledge representation.The objective of this paper is to propose a taxonomy of semantic relations that compiles the different approaches on the subject. The methodology applied bibliographic research for theoretical foundation and literature review based on the main bibliographic references on semantic relations. As result, some classifications of semantic relations were found to have been raised by different authors, each offering a singular point of view, which has resulted in a range of discordant terms. To answer this need, a taxonomy was arrived at of sixty-three semantic relations, including a new relation discovered by this study, dubbed here ‘subordinate agent’.